Duck Creek Data Insights – Extract Mapper Engineer

2 weeks ago

GTB Nager, India Bean HR Consulting Full time

Role - Duck Creek Data Insights – Extract Mapper Engineer

Mandatory Skill- Data Insight, Extract Mapper, Duck Creek, Sql, ETL Process

Good to have- Azure/DevOps/Insurance Domain

Work Location- Gurgaon/Noida/Pune/Bangalore

Exp- 3 to 6 yrs

About Client

A global provider of insurance-focused technology, data, and consulting services, offering innovative solutions to optimize operations, enhance analytics, and support digital transformation across the insurance and reinsurance sectors.

Key requirements for the position


• Minimum 3 to 5 year working experience on Duck Creek Insights product


• Strong Technical knowledge on SQL databases, MSBI


• Preferable having experience in Insurance domain


• Preferable experience in Duck Creek Data Insights


• Experience specific to Duck Creek would be an added advantage


• Strong knowledge of database structure systems and data mining


• Excellent organizational and analytical abilities


• Outstanding problem solver


• Good written and verbal communication skills


• Working Experience in Agile methodology


• Should have good analytical Skills


• Should be able to work in large teams

Job Description


• Should have strong hands-on knowledge on Duck Creek Insight product, SQL Server/DB level configuration, T-SQL, XSL/XSLT, MSBI etc


• Well versed with Duck Creek Extract Mapper solution


• Extract mapper Architecture


• Extract Mapper Manuscripts


• Extract Mapper operation o Author Extract Mapper tool


• Extract Mapper Server API


• Mapping by Static Value, XPath and Expression


• Field based mapping o Error logs


• Strong understanding of Data Modelling, Data Warehousing, Data Marts, Business Intelligence with ability to solve business problems


• Basic understanding of ETL and EDW toolsets on the Duck Creek Data Insights


• Working knowledge on Duck Creek Insight product overall architecture flow, Data hub, Extract mapper etc


• Understanding of data related to business application areas policy, billing, and claims business solutions

Regards,

Kajal Khatri

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